Digital transformation in manufacturing industry: Scenarios, benefits and technologies

Digital transformation in manufacturing relates to integrating digital technologies into processes and products to enhance manufacturing efficiency and quality. After the COVID-19 pandemic, digital transformation is implemented in almost every industry and manufacturing section is no exception. According to the 2021 Digital Transformation Assessment study conducted by IBM and The Manufacturer, 68% of manufacturers have deployed the digital projects after COVID-19. In this post, we will show you digital technologies affect manufacturing with key technologies and trends.

Benefits of Digital Transformation in Manufacturing

Customer expectations and increased competition are the main advantages of digital transformation in manufacturing as with all industries. By applying digital technologies, manufacturers can boost speed and efficiency, improve production, reduce costs, and deliver a better customer experience. Here are top reasons to deploy your industrial shop with digital manufacturing technology:

  • Moving to the next level of traditional manual processes, cloud-based solutions will help improve decision-making capabilities, avoid costly rework and downtime, simplify performance monitoring, ​​identify weaknesses and bottlenecks, and so on. This way, your business can save a huge amount of time and money while also doing more effectively.
  • Digital manufacturing can help you have better insight into issues, such as inventory levels, delivery status, and demand cycles. This will minimum unnecessary risks and costs related to problems like excessive inventory and material.
  • Investing in the right digital technology, and software will equip your employees with unique, and improved skills.
  • Digitized manufacturers can provide customers attractive customization options. It also allows manufacturers to expand a mass scale while maintaining high efficiency.
  • Safety: Robots can work in dangerous environments. The manufacturing staff can be alerted about potential hazards well in advance.

Related post:

What are the newest technologies and trends enabling digital transformation in manufacturing?

digital transformation in manufacturing

Manufacturing analytics

Manufacturing analytics offer insights about machine, processes, and operators, in order to predict machine future use and maintenance requirements, avoid failures and pitfalls, forecast business and inventory requirements, and identify areas for enhancement. This tools can be used to optimize:

  • Demand forecasting
  • Inventory management
  • Order management
  • Maintenance (predictive and preventive)
  • Risk management
  • Automation and robotics
  • Transportation allocation
  • Product progress measurement
  • End user experience estimation
  • Price optimization

Digital Adoption Platform

There are a lot of things taking place in the backend, from solving inventory to procuring raw materials. These features could be complicated when the workflow is so high, especially entering details within the procurement application. Manufacturers might solve a big problem which is how to conduct those works efficiently as well as assuring the accuracy and integrity of data. Hence, it is a great solution to train your staffs while keeping them engaged and a digital adoption platform support you with that and more.

IoT (Internet Of Thing)

IoT is not something new but it is still trending in 2021 and it will continue for the next few years. Also, IoT is now globally deployed and business are realizing its important role. IoT support you to connect different types of devices from anywhere via the internet to conduct tasks automatically and to make decisions in real-time which based on the data available at hand. Moreover, you can manage the supply chain, detect the quality of the parts, the origin of any defect during production, assure the safety of the staffs and perform various other features with the support of IoT.

Industrial Robots

Production automation and smart robots are not something that companies are unfamiliar with, but being able to adjust to complex changing conditions, such as enhanced customer orders or lower machine performance in another part of the factory must be something that we never thought that the control systems and programming languages can solve. Moreover, with the support of robots in conjunction with AI and other emerging technologies, producers can take a critical step toward deploy into an intelligent factory. At this level, robots not only do tasks, but also are able to engage in data collection, sharing and analysis to work on fixing issues with humans. Additionally, collaboration robots, robots, will emerge to support humans to perform tasks in dangerous cases, thereby enabling a human to work safely and smarter at a distance.

Autonomous systems

Autonomous systems are systems which improve data about the surrounding environment from sensors in order to analyze real-time situations, adapt, and react without human intervention. Some autonomous systems in manufacturing which are:

  • Autonomous robots
  • The autonomous warehouse and factory systems
  • Autonomous vehicles
  • Drones

Digital Twins

A digital twin can behave as a device’s real-life equivalent to gather data on the most effective solution to support manufacturers digitally replicate various scenarios. Manufacturers can also enhance quality of products, design predictive maintenance, optimize production processes and risk mitigation scenario planning by combining digital twins with IoT data and AI.

Agility And Responsiveness

One of the biggest benefits is that technology is making manufacturers focus on bolstering responsiveness and agility due to changing client demands and market conditions. This is very helpful to the manufacturing industry. Also, you will can match production cycles and the emerging product demand levels effectively. The more successfully an organization can combine those two essentials, the more agility you can pump in your operations.

Furthermore, new technologies will be invented, and the existing ones will be innovated. Customers needs are increasing within the passing day and companies are competing with each other to satisfy the customer requirements. Also, the technologies will be of paramount importance. So, your manufacturing business needs to realize the long term advantages of digital transformation have great strategies in order to go digital successfully.

What are some case studies?

digital transformation in manufacturing
  • Cisco developed a secure virtual MES (manufacturing execution system) platform to better orchestrate its global network of outsourced production plants. The platform contains IoT devices and big data analytics and helps Cisco trace supply chain quality in real time.
  • With the support of IoT devices and cloud technology, food packaging company TetraPak can predict exactly when equipment demands maintenance. Also, it helps avert breakdowns that could cause spoilage of food products.
  • Porsche has introduced customizable seats for its sports cars by using 3D printing technology and allows its customers to choose three levels of firmness: soft, medium, hard. Moreover, the company is planning to expand the extent of customization for their cars in the future.

Is Your Manufacturing Company Ready to Be Digitally Transformed?

Digital transformation isn’t only about reducing costs and improving efficiencies. Also, it’s also about embracing an agile mindset and maximizing revenue through unique competitive benefits. If rethinking operating models, adopting new principles, and improving efficiencies are generating digital fatigue, contact our technology solution consulting and technical implementation service for Free Consultation. With the in depth knowledge and expertise, we help you shortcut your way into the world of IT and leverage your IT in your business environment effectively.

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